External datasets catalogue

Agri-environmental indicator - tillage practices 2010 — 07 Nov 2016

This article provides a fact sheet of the  European Union (EU)   agri-environmental indicator   tillage practices . It consists of an overview of recent data, complemented by all information on  definitions ,  measurement methods  and  context  needed to interpret them correctly. The tillage practices article is part of a  set of similar fact sheets  providing a complete picture of the state of the agri-environmental indicators in the EU.

Eurostat Crop Statistics — 07 Nov 2016

COPERNICUS Remote Sensing data — 07 Nov 2016

The pan-European component is coordinated by the European Environment Agency (EEA) and produces satellite image mosaics, land cover / land use (LC/LU) information in the CORINE Land Cover data, and the High Resolution Layers.  The CORINE Land Cover is provided for 1990, 2000, 2006 and 2012. This vector-based dataset includes 44 land cover and land use classes. The time-series also includes a land-change layer, highlighting changes in land cover and land-use. The high-resolution layers (HRL) are raster-based datasets which provides information about different land cover characteristics and is complementary to land-cover mapping (e.g. CORINE) datasets. Five HRLs describe some of the main land cover characteristics: impervious (sealed) surfaces (e.g. roads and built up areas), forest areas, (semi-) natural grasslands, wetlands, and permanent water bodies. The High-Resolution Image Mosaic is a seamless pan-European ortho-rectified raster mosaic based on satellite imagery covering 39 countries. 

Rainfall Erosivity Database at European Scale (REDES) — 07 Nov 2016

This map provides a complete rainfall erosivity dataset for European Union (28 member States) and Switzerland based on 1541 precipitation stations and 26,394 years of measurements. Gaussian Process Regression(GPR) model was used to interpolate the rainfall erosivity values of single stations and to generate the R-factor map.  Pixel size : 500m  Measurement Unit : MJ mm ha -1  h -1  yr -1 Projection : ETRS89 Lambert Azimuthal Equal Area  Temporal coverage : 40 years - Predominant in the last decade: 2000 - 2010

Entity to delete — 07 Nov 2016

European Soil Database For the convenience of the user, a number of 1kmx1km raster data sets have been derived from the European Soil Database (ESDB) v2.0.  It is stressed that these rasters are an interpretation of the data contained in the ESDB v2.0  The basis for these data is the European Soil Database v2.0, which is fully documented  here . Below is the documentation on the ESDB v2 - Raster Library 1kmx1km.

European Soil Database (dataset URL is not directly available) — 07 Nov 2016

For the convenience of the user, a number of 1kmx1km raster data sets have been derived from the European Soil Database (ESDB) v2.0.  It is stressed that these rasters are an interpretation of the data contained in the ESDB v2.0  The basis for these data is the European Soil Database v2.0, which is fully documented  here . Below is the documentation on the ESDB v2 - Raster Library 1kmx1km.

LUCAS Topsoil 2009 — 07 Nov 2016

LUCAS_TOPSOIL_v1: an Excel file that contains the geographical coordinates of the location where the data were sampled and for each location the values for a number of properties. LUCAS_TOPSOIL_v1_spectral consists of a file that contains the multispectral reflectance data (format available: RDATA) The LUCAS_TOPSOIL data are covered by a  Privacy Statement .

Greenhouse gas projections — 03 Nov 2016

The Icelandic National Renewable Energy Action Plan for the promotion of the use of energy from renewable sources in accordance with Directive 2009/28/EC and the Commission Decision of 30 June 2009 on a template fo — 03 Nov 2016

EEA Agreement Annex IV on Energy — 03 Nov 2016

Approximated greenhouse gas emissions — 03 Nov 2016

Greenhouse gas Monitoring Mechanism Regulation (MMR)

Reviewed greenhouse gas emissions covered by Decision 406/2009/EC (the ESD) — 03 Nov 2016

National Energy Efficiency Action Plans and Annual Reports — 03 Nov 2016

National Energy Efficiency Action Plans (NEEAPs) set out estimated energy consumption, planned energy efficiency measures and the improvements individual EU countries expect to achieve. Under the Energy Efficiency Directive , EU countries must draw up these plans every three years. EU countries must report the progress achieved towards their national energy efficiency targets on an annual basis.

The new assessment of soil loss by water erosion in Europe — 25 Oct 2016

Soil erosion by water is one of the major threats to soils in the European Union, with a negative impact on ecosystem services, crop production, drinking water and carbon stocks. The European Commission's Soil Thematic Strategy has identified soil erosion as a relevant issue for the European Union, and has proposed an approach to monitor soil erosion. This paper presents the application of a modified version of the Revised Universal Soil Loss Equation (RUSLE) model (RUSLE2015) to estimate soil loss in Europe for the reference year 2010, within which the input factors (Rainfall erosivity, Soil erodibility, Cover-Management, Topography, Support practices) are modelled with the most recently available pan-European datasets. While RUSLE has been used before in Europe, RUSLE2015 improves the quality of estimation by introducing updated (2010), high-resolution (100 m), peer-reviewed input layers. The mean soil loss rate in the European Union's erosion-prone lands (agricultural, forests and semi-natural areas) was found to be 2.46 t ha −1  yr −1 , resulting in a total soil loss of 970 Mt annually.

A New Assessment of Soil Loss Due to Wind Erosion in European Agricultural Soils Using a Quantitative Spatially Distributed Modelling Approach — 25 Oct 2016

Soil erosion by wind — 24 Oct 2016

Title: Soil loss by wind erosion in European agricultural soils (Quantitative assessment) Description: GIS-RWEQ is a simplified GIS-based application of the RWEQ model (ARS-USDA). It follows a spatially distributed approach based on a grid structure, running in R and Python scripts. The model scheme is designed to describe the daily soil loss potential at regional or larger scale. A complete description of the methodology and the application in Europe is described in the paper: Borrelli, P., Lugato, E., Montanarella, L., & Panagos, P. (2016). A New Assessment of Soil Loss Due to Wind Erosion in European Agricultural Soils Using a Quantitative Spatially Distributed Modelling Approach. Land Degradation & Development, in Press, DOI: 10.1002/ldr.2588 Spatial coverage: 28 Member States of the European Union Pixel size: c.a 1Km Projection: ETRS89 Lambert Azimuthal Equal Area Temporal coverage: from January 2001 to December 2010

Soil erosion by water (RUSLE2015) — 24 Oct 2016

Title: Soil Loss by Water Erosion in Europe Description: At a resolution of 100m, this is the most detailed assessment yet of soil erosion by water for the EU. The study applied a modified version of the Revised Universal Soil Loss Equation (RUSLE) model, RUSLE 2015, which delivers improved estimates based on higher resolution (100 m compared to 1 km) peer-reviewed inputs of rainfall, soil, topography, land use and management from the year 2010 (the latest year for which most of the input factors are estimated). The model can be used to predict the effect of a range of policy scenarios. It is also replicable, comparable and can be extended to model other regions. All the input layers (Rainfall erosivity, Soil Erodibility, Cover-Management, Topography and Support Practices) have been peer reviewed and published as well. Spatial Coverage: European Union 28 Member States Resolution: 100m Time Reference: 2010 Format: Raster (Grid) Projection: ETRS89 Lambert Azimuthal Equal Area Input data: LUCAS Topsoil, European Soil Database, Lucas Earth Observations, Rainfall Erosivity Database at European Scale (REDES), CORINE Land Cover 2006, COPERNICUS Remote Sensing, EUROSTAT (statistics on Crops, Tillage, Plant residues, cover crops), Digital Elevation Model (DEM) at 25m, Good Agricultural Environmental Condition (GAEC). More Information: RUSLE2015 Additional data: Rainfall erosivity (R-factor), Soil Erodibility (K-factor), Topography (LS-factor), Cover Management (C-factor), Support Practices (P-factor) data are also available for download in the corresponding pages. Release Date: 1/9/2015

WHO air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulphur dioxide. Global update 2005 — 19 Oct 2016

Technical assessment of the implementation of Council Directive concerning Urban Waste Water Treatment (91/271/EEC), Final version 25 March 2015 — 18 Oct 2016

The Urban Waste Water Treatment Directive1 (UWWTD, hereinafter referred to as “the Directive”) is one of the core elements of EU water policy. Adopted in 1991 its objective is to protect the environment from adverse effects of discharges of urban waste water from settlement areas and biodegradable industrial waste water from the agro-food sector. Principally, but not exclusively, the Directive requires that all European agglomerations with a size of more than 2,000 population equivalents (p.e.)2 are equipped with collecting and treatment systems for their waste waters. The Directive provides for biological waste water treatment (‘secondary treatment’) to significantly reduce the biodegradable pollution in waste water. In the so-called sensitive areas (i.e. those areas suffering from eutrophication or used for other purposes such as e.g. bathing or drinking water abstraction) and their related catchments, more stringent treatment is required to eliminate nutrients (mainly nitrogen and/or phosphorus) before the waste water is discharged.

Corine Land Cover 2000 - 2006 changes — 10 Oct 2016